Sofi Technologies Stock Pattern Recognition Two Crows
| SOFI Stock | USD 24.60 0.86 3.38% |
| Symbol |
Recognition |
The function did not generate any output. Please change time horizon or modify your input parameters. The output start index for this execution was twelve with a total number of output elements of fourty-nine. The function did not return any valid pattern recognition events for the selected time horizon. Two Crows is a 3-day pattern that warns about a possible future trend reversal for SoFi Technologies.
SoFi Technologies Technical Analysis Modules
Most technical analysis of SoFi Technologies help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for SoFi from various momentum indicators to cycle indicators. When you analyze SoFi charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
About SoFi Technologies Predictive Technical Analysis
Predictive technical analysis modules help investors to analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of SoFi Technologies. We use our internally-developed statistical techniques to arrive at the intrinsic value of SoFi Technologies based on widely used predictive technical indicators. In general, we focus on analyzing SoFi Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build SoFi Technologies's daily price indicators and compare them against related drivers, such as pattern recognition and various other types of predictive indicators. Using this methodology combined with a more conventional technical analysis and fundamental analysis, we attempt to find the most accurate representation of SoFi Technologies's intrinsic value. In addition to deriving basic predictive indicators for SoFi Technologies, we also check how macroeconomic factors affect SoFi Technologies price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
| 2023 | 2024 | 2025 | 2026 (projected) | Dividend Yield | 0.004299 | 0.00102 | 0.001173 | 0.001115 | Price To Sales Ratio | 3.25 | 4.37 | 3.93 | 2.38 |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards SoFi Technologies in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, SoFi Technologies' short interest history, or implied volatility extrapolated from SoFi Technologies options trading.
Trending Themes
If you are a self-driven investor, you will appreciate our idea-generating investing themes. Our themes help you align your investments inspirations with your core values and are essential building blocks of your portfolios. A typical investing theme is an unweighted collection of up to 20 funds, stocks, ETFs, or cryptocurrencies that are programmatically selected from a pull of equities with common characteristics such as industry and growth potential, volatility, or market segment.![]() | Investor Favorites Invested over 100 shares | |
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Check out World Market Map to better understand how to build diversified portfolios, which includes a position in SoFi Technologies. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in price. For more detail on how to invest in SoFi Stock please use our How to Invest in SoFi Technologies guide.You can also try the Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
Is there potential for Consumer Finance market expansion? Will SoFi introduce new products? Factors like these will boost the valuation of SoFi Technologies. If investors know SoFi will grow in the future, the company's valuation will be higher. Understanding fair value requires weighing current performance against future potential. All the valuation information about SoFi Technologies listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth 1.059 | Earnings Share 0.56 | Revenue Per Share | Quarterly Revenue Growth 0.378 | Return On Assets |
Investors evaluate SoFi Technologies using market value (trading price) and book value (balance sheet equity), each telling a different story. Calculating SoFi Technologies' intrinsic value—the estimated true worth—helps identify when the stock trades at a discount or premium to fair value. Analysts utilize numerous techniques to assess fundamental value, seeking to purchase shares when trading prices fall beneath estimated intrinsic worth. External factors like market trends, sector rotation, and investor psychology can cause SoFi Technologies' market price to deviate significantly from intrinsic value.
Please note, there is a significant difference between SoFi Technologies' value and its price as these two are different measures arrived at by different means. Investors typically determine if SoFi Technologies is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. Conversely, SoFi Technologies' market price signifies the transaction level at which participants voluntarily complete trades.











